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How data scientists differ from BI data analysts? A data scientist and BI analyst can take Big Data analytics and data warehousing programs to the next level. They can help in deciphering what the data is actually telling a company. They are also able to segregate relevant data from irrelevant data. A data scientist and a BI analyst will hopefully be able to leverage the enterprise data warehouse, currently in place, to take a deep dive into the data. Organizations must, therefore, know about the difference between data scientists and data analysts.

March 13, 2017 by Naveen Joshi

As a discipline, Business Analytics has been around for 30 years, starting with the launch of MS Excel in 1985. Before this, data analytics was only limited to manual calculations…

Big Data

Making Big Data normal with graph analysis Social networks have transformed the Internet into a complex web of relationships. Graph analysis offers a way to understand these complex relationships.

March 12, 2017 by Naveen Joshi

Graph analysis models are powerful enablers of fine-grained predictive modeling of human behavior as they help in identifying the likely behavior of individuals in their fuller context of groups, relationships,…

Big Data

3 steps to harness IoT for generating business value Organizations can generate business value with IoT as it delivers several business benefits spanning from operational improvements, like predictive analytics, to digital business transformation, such as smart workspaces.

March 11, 2017 by Naveen Joshi

Adoption of IoT is becoming widespread and profound. Competitors, suppliers, as well as business partners are all adopting IoT in various formats. To generate business value with IoT, organizations are…

IOT

Authentication and device identification in IoT security IoT technology is experiencing a significant growth in consumer and business environments. The importance of device identification in IoT is growing as more and more devices in IoT are connecting to the network intermittently and are required to communicate securely with other devices as well as the backend infrastructure.

March 10, 2017 by Naveen Joshi

Experts and researchers will point out that that the IoT must be secure in order for its value to be realized. Usually this point is justified by describing a scary…

IOT

3 advantages of using crowdsourcing in machine learning The utilization of crowdsourcing in machine learning helps in efficiently analyzing unprecedented amounts of data. It is thus poised to revolutionize the way machine intelligence functions.

March 9, 2017 by Naveen Joshi

As unstructured data is getting piled up at increasing pace, different approaches and platforms are emerging in order to help businesses make greater analytical use of data. Among the latest…

IOT

How to initiate and deploy your cloud projects with service definition? Cloud computing developed and evolved rapidly over the last half decade. Although cloud computing is on its way to becoming a huge success, Infrastructure and Operations leaders are often struggling to understand the role of cloud computing and develop strategies that exploit its potential. Deploying projects with cloud service definition ensures efficient deployment of cloud project.

March 8, 2017 by Naveen Joshi

Service quality is one of the key factors that businesses cite as a reason for not moving their business applications to the cloud. Many organizations feel that SLAs provided by…

Technology

Overcoming trade compliance risks in the supply chain For managing supply chain compliance requirements efficiently and effectively, companies require access to information; avoid trade compliance risks along with the ability to scan the horizon for new and rapidly emerging requirements

March 7, 2017 by Naveen Joshi

Increased stakeholder expectations, along with heavy fines because of non-compliance with environmental regulations, have delayed market access. Also, there are several overlapping product integrity requirements, which organizations must navigate in…

Technology